package cn.levill.domain.strategy.service.rule.chain.impl;

import cn.levill.domain.strategy.repository.IStrategyRepository;
import cn.levill.domain.strategy.service.armory.IStrategyDispatch;
import cn.levill.domain.strategy.service.rule.chain.AbstractLogicChain;
import cn.levill.domain.strategy.service.rule.chain.factory.DefaultChainFactory;
import cn.levill.types.common.Constants;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;

import javax.annotation.Resource;
import java.util.*;

/**
 * @author Levill
 * @description 规则权重逻辑链
 * @date 2025/02/04 15:02
 */
@Slf4j
@Component("rule_weight")
public class RuleWeightLogicChain extends AbstractLogicChain {

    @Resource
    private IStrategyRepository repository;

    @Resource
    private IStrategyDispatch strategyDispatch;

    public Long userScore = 0L;

    /**
     * 权重责任链过滤;
     * 1.权规则格式;4000:102,103,104,105 5000:102,103,104,105,106,107 6000:102,103,104,105,106,107,108,109
     * 2.解析数据格式;判断哪个范围符合用户的特定抽奖范围
     */
    @Override
    public DefaultChainFactory.StrategyAwardVO logic(String userId, Long strategyId) {
        log.info("规则过滤-权重范围 userId:{} strategyId:{} ruleModel:{}", userId, strategyId, ruleModel());

        String ruleValue = repository.queryStrategyRuleValue(strategyId, ruleModel());

        //1.根据用户ID查询用户抽奖消耗的积分值，本章节我们先写死为固定的值。后续需要从数据库中查询。
        Map<Long, String> analyticalValueGroup = getAnalyticalValue(ruleValue);
        if (analyticalValueGroup == null || analyticalValueGroup.isEmpty()) {
            // 为空直接放行
            return next().logic(userId, strategyId);
        }
        // 2.不为空：转换Keys值，并默认排序
        List<Long> analyticalSortedKeys = new ArrayList<>(analyticalValueGroup.keySet());
        Collections.sort(analyticalSortedKeys);

        Integer userScore = repository.queryActivityAccountTotalUseCount(userId, strategyId);

        // 3.找出最小符合的值，也就是【4500积分，能找到4000:102,103,104,105】【5000积分，能找到5000:102,103,104,105,106,107】
        Long nextValue = analyticalSortedKeys.stream()
                // 匹配传入的积分userScore>=(5000/4000/1000/60)的值
                .sorted(Comparator.reverseOrder()) //转为升序
                .filter(key -> userScore >= key)
                .findFirst()
                .orElse(null);

        if (null != nextValue) {
            Integer awardId = strategyDispatch.getRandomAwardId(strategyId, analyticalValueGroup.get(nextValue));
            log.info("抽奖责任链-权重接管 userId:{} strategyId:{} ruleModel:{} awardId:{}", userId, strategyId, ruleModel(), awardId);
            return DefaultChainFactory.StrategyAwardVO.builder()
                    .awardId(awardId)
                    .logicModel(ruleModel())
                    .build();
        }

        //4.过滤其他责任链
        log.info("抽奖责任链-权重放行 userId：{} strategy：{} ruleModel：{}", userId, strategyId, ruleModel());
        return next().logic(userId, strategyId);
    }

    @Override
    protected String ruleModel() {
        return DefaultChainFactory.LogicModel.RULE_WEIGHT.getCode();
    }

    private Map<Long, String> getAnalyticalValue(String ruleValue) {
        String[] ruleValueGroups = ruleValue.split(Constants.SPACE);
        Map<Long, String> ruleValueMap = new HashMap<>();
        for (String ruleValueKey : ruleValueGroups) {
            // 检查输入是否为空
            if (ruleValueKey == null || ruleValueKey.isEmpty()) {
                return ruleValueMap;
            }
            // 分割字符串以获取键和值
            String[] parts = ruleValueKey.split(Constants.COLON);
            if (parts.length != 2) {
                throw new IllegalArgumentException("rule_weight rule_rule invalid input format" + ruleValueKey);
            }
            ruleValueMap.put(Long.parseLong(parts[0]), ruleValueKey);
            // < 4000="4000:102,103" >
        }
        return ruleValueMap;
    }
}


